Databricks Certified Data Engineer - Professional
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A junior data engineer is implementing logic for a Lakehouse table called silver_device_recordings. The source data consists of 100 unique fields in a deeply nested JSON structure.
The silver_device_recordings table will serve downstream applications, including multiple production monitoring dashboards and a production model. Currently, 45 out of the 100 fields are utilized in at least one of these applications.
Given the highly nested schema and large number of fields, the data engineer must decide on the optimal approach for schema declaration.
Which of the following statements correctly describes Delta Lake and Databricks features that could influence this decision?
A junior data engineer is implementing logic for a Lakehouse table called silver_device_recordings. The source data consists of 100 unique fields in a deeply nested JSON structure.
The silver_device_recordings table will serve downstream applications, including multiple production monitoring dashboards and a production model. Currently, 45 out of the 100 fields are utilized in at least one of these applications.
Given the highly nested schema and large number of fields, the data engineer must decide on the optimal approach for schema declaration.
Which of the following statements correctly describes Delta Lake and Databricks features that could influence this decision?
Explanation:
The question assesses knowledge of Delta Lake and Databricks schema handling. Option D is correct because manually setting schema ensures data quality enforcement. When Databricks infers schema, it uses permissive types to avoid errors during ingestion, which might not align with strict downstream requirements. Manual schema declaration enforces stricter type checks, preventing invalid data. Other options are incorrect: A incorrectly claims Tungsten optimizes for strings, B misrepresents Parquet's immutability, C is a general statement unrelated to schema features, and E falsely claims inferred types always match downstream systems.